Deprecated: The each() function is deprecated. This message will be suppressed on further calls in /home/zhenxiangba/zhenxiangba.com/public_html/phproxy-improved-master/index.php on line 456
JP4236433B2 - System and method for simulating fill flash in photography - Google Patents
[go: Go Back, main page]

JP4236433B2 - System and method for simulating fill flash in photography - Google Patents

System and method for simulating fill flash in photography Download PDF

Info

Publication number
JP4236433B2
JP4236433B2 JP2002269758A JP2002269758A JP4236433B2 JP 4236433 B2 JP4236433 B2 JP 4236433B2 JP 2002269758 A JP2002269758 A JP 2002269758A JP 2002269758 A JP2002269758 A JP 2002269758A JP 4236433 B2 JP4236433 B2 JP 4236433B2
Authority
JP
Japan
Prior art keywords
camera
distance
scene
photograph
flash
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
JP2002269758A
Other languages
Japanese (ja)
Other versions
JP2003179810A (en
Inventor
ドナルド・ジェイ・ステイブリー
ケイ・ダグラス・ジェネトン
デイヴィッド・ケイ・キャンベル
ポール・エム・ヒューベル
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HP Inc
Original Assignee
Hewlett Packard Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hewlett Packard Co filed Critical Hewlett Packard Co
Publication of JP2003179810A publication Critical patent/JP2003179810A/en
Application granted granted Critical
Publication of JP4236433B2 publication Critical patent/JP4236433B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H04N5/2621Cameras specially adapted for the electronic generation of special effects during image pickup, e.g. digital cameras, camcorders, video cameras having integrated special effects capability
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/63Control of cameras or camera modules by using electronic viewfinders
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/67Focus control based on electronic image sensor signals
    • H04N23/673Focus control based on electronic image sensor signals based on contrast or high frequency components of image signals, e.g. hill climbing method
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/76Circuitry for compensating brightness variation in the scene by influencing the image signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Image Processing (AREA)

Description

【0001】
【発明の属する技術分野】
本発明は、一般に写真撮影法に関し、特にフラッシュ・ライトまたはストロボ・ライト使用のシミュレーションに関する。
【0002】
【従来の技術】
カメラマンは、多くの場合にフラッシュ・ライトまたはストロボ・ライトを使用して、自分の写真に望ましい効果を与える。最新のカメラの多くは、フラッシュを使いやすいように内蔵の電子フラッシュ・ランプを備えている。他の光源から十分な光が得られない場合に、フラッシュを使用してシーンの主照明を提供することもある。他の光源から得られる光はしばしば周囲光と呼ばれる。
【0003】
フラッシュを使用しなくても写真の露出に十分な周囲光が得られるが周囲光の分布が期待はずれの撮影結果をもたらすような場合もある。この現象は、比較的暗い部屋で太陽に照らされた窓を背景にした人間など、背後が明るく照らされた被写体で多く見られる。カメラはシーンの平均的な輝度に合わせて露出を設定するので、その人間が著しく露出不足になる。
【0004】
このような状況で写真の品質を向上する技術がフィル・フラッシュ(fill flash)、つまり補助フラッシュを使うことである。フィル・フラッシュは、写真に十分な周囲光はあるかもしれないがフラッシュを使用すればさらに改善されるシーンで、通常はカメラに内蔵または外付けしたフラッシュまたはストロボを使用して光を補う技術である。前述の例で、カメラのフラッシュを使用すると人間の照度を向上できるが、窓の外の太陽に照らされた物体の輝度にはほとんど影響がない。このようにして、人間と戸外の物体の相対的な照度がより近くなるので、シーンの様々な構成要素の相対的な露出を改善できる。
【0005】
フィル・フラッシュは他の目的にも使用できる。フィル・フラッシュは手前側の被写体に対してハイライトの強調を行うことができる。また、例えば撮影対象の人間が頭上に近い角度からの強烈な日光に照らされている場合などに現れる目障りな影をフィル・フラッシュで緩和することもできる。
【0006】
フィル・フラッシュを使用すると状況によっては写真の品質を向上できるが、この技術にはいくつかの欠点もある。美術館内などのように、フラッシュ撮影が許可されない場合もある。あるいは、結婚式や正式なディナーなどでのフラッシュ撮影は無作法と考えられている。
【0007】
フィル・フラッシュを使用すると、望ましくない影をもたらすこともある。例えば、フラッシュを使用して人間を写真に撮ると、写真中ではその人間の一方の側に、人間の真後ろの物体に落ちた目障りで好ましくない影がくっきりと描かれることがある。
【0008】
また、電子フラッシュはかなりの電気エネルギーを消耗する。カメラのフラッシュを使用するとカメラに電力を供給しているバッテリーが急激に消耗するので、1回のバッテリー交換や充電でカメラを使用できる時間が制限される。
【0009】
さらに、電子フラッシュを使用するとフラッシュの光が被写体の目の網膜で反射してカメラへ戻ってくるときに「赤目現象」と呼ばれる望ましくない効果をもたらすこともある。本番発光の前に、被写体の虹彩を収縮させるために予備的に発光させるプレフラッシュを行うなどの「赤目現象」を軽減する方法を使用すると、カメラのシャッター応答時間が遅れるので望ましくない。
【0010】
最後に、一部のカメラではユーザーが写真を撮る前にフィル・フラッシュを使用するか否かを決めなければならない。従来は、写真を撮った後でフラッシュの効果を容易に追加または削除することはできなかった。フィル・フラッシュを使用するか否かを自動的に決定できるカメラもあるが、自動のカメラで撮った写真はフィル・フラッシュの他のすべての欠点による影響を受けやすい。さらに、カメラマンはカメラの決定に納得できず、その結果を修正する方法を求めている。
【0011】
【発明が解決しようとする課題】
写真撮影後にフィル・フラッシュの効果を追加または調整でき、フィル・フラッシュの有益な効果を提供できると同時に望ましくない影響を防止し、しかもフラッシュ撮影を利用できない状況でもフィル・フラッシュの効果を実現するカメラが求められている。
【0012】
【課題を解決するための手段】
デジタル・カメラで電子フラッシュを使用することなく1つのシーンを連続的に何枚か撮影する。個々の写真は、カメラからの距離が異なる位置にピントを合わせる。各写真をそのピントを合わせた距離つまり合焦距離と共に記録する。空間的なコントラスト分析を使用して写真を分析し、各シーンのどの要素にピントが合っているかを判定する。どの要素にピントが合っているかの情報と記録済みの合焦距離を組み合わせて、カメラからシーンの各要素への距離を確定する。距離情報に基づいてシーンの各領域の輝度を選択的に調整し、フラッシュを使用した場合に得られる効果をシミュレートする。
【0013】
【発明の実施の形態】
図1はデジタル・カメラのブロック図を示している。レンズ(101)はシーン(図示せず)から光を集める。集められた光は方向を変えて(102)センサ(103)上にシーンのイメージを形成する。センサは、CCD素子の配列やCMOSセンサのようなものでよい。レンズ(101)のすべてまたは一部を含めたピント調節メカニズムの動作は、マイクロプロセッサ・システムを備える論理ユニット(110)からの制御信号(113)で制御できる。ピント調節メカニズムのポジションを示すフィードバック信号(114)はレンズ(101)から論理ユニット(110)に送信される。同様に、センサの動作は論理ユニット(110)からの制御信号(105)で制御される。イメージ情報信号(104)はセンサから論理ユニット(110)に送信される。フラッシュまたはストロボ(106)を使用してシーンに付加的な光(107)を供給してもよい。ストロボはストロボ・エレクトロニクス(108)で操作され、さらにストロボ・エレクトロニクス(108)は論理ユニット(110)で制御される。カメラはイメージ・データを表示するディスプレイ(109)を備えていてもよい。また、カメラはイメージ・データの保管や呼び出し、及び他の装置(図示せず)とのデータ交換を行うためのメモリ(111)を備えていてもよい。カメラのユーザは、カメラの操作に影響を及ぼす各種の制御入力(112)を操作できる。
【0014】
本発明を具体化するデジタル・カメラのピント調節メカニズムは、カメラの論理ユニット(110)で制御できる。レンズ(101)またはレンズの一部は、論理ユニット(110)の制御下で軸方向に移動し、論理ユニット(110)が撮影時のピント調節メカニズムの位置を知ることができるようにピント合わせ動作を行う。このようにする代わりに、センサ(103)の位置を論理ユニット(110)の制御下で調整してピント合わせ動作を行うこともできる。ピント調節メカニズムから論理ユニット(110)にフィードバック信号を与えて、ピント調節メカニズムの位置を直接示すようにすることもできる。レンズ(101)の光学的性質やカメラの設計に関する内蔵された情報と組み合わせることによって、ピント合わせメカニズムの位置から、カメラからピントを合わせた被写体までの距離がわかる。
【0015】
デジタル・カメラは、本質的に、撮影したそれぞれの写真の数値表現を生成する。写真上の個々の位置は「画素」または「ピクセル」と呼ばれ、カメラはシーンのその位置における輝度を示す数値を記録する。その結果、シーンの表現は数値の配列になる。この配列内の位置は特定のピクセルすなわちそのシーンの位置に対応しており、配列の各位置に格納された数値はシーンのその位置の輝度を表す。また、カメラは撮影したシーンの各ピクセル位置の色に関する情報を記録してもよい。例えば、多くのカメラはそのピクセルの輝度に対する光の赤、緑、青の各波長の寄与を表す3つの成分を使用してピクセルの色を表す。ピクセルの全体的な輝度は、赤、緑、青の寄与の和として、重み付けされた和として、あるいは色情報の何らかの他の組み合わせとして、計算できる。色情報からピクセルの輝度を計算する各種の方法は技術的によく知られている。本発明が各ピクセルの輝度情報のみを記録するカメラと、色情報も記録するカメラの両方に適用されることは、当業者には容易に理解できるだろう。
【0016】
本開示の目的のためには、写真はカメラが捕らえたシーンの数値表現でよく、シーンを写真に焼き付けたものである必要はない。
【0017】
図2は本発明の実施態様を示すために使用するシーンを図式化したものである。シーンでは、人間(201)が木(202)の影の中でカメラに近い位置に立っている。木(202)は人間(201)に比べるとカメラから遠いが、それ程離れてはいない。シーンの背景は家(203)を含む他の物体である。背景の物体は、人間(201)や木(202)に比べてカメラからはるかに遠い。シーンのいくつかの物体、特に人間のシャツ(204)と帽子(205)、木の幹(206)、家(203)の輝度は同じであるように見える。
【0018】
このシーンはフィル・フラッシュを使うことによって改善できるシーンの例を提供している。シーンの全体の露出はバランスがとれているのに対し、前景の人間(201)は、その位置の周囲光が不十分なためにカメラマンが望むより暗く見える。カメラマンは、多くの場合、写真中の皮膚のトーンを、黒と白のほぼ中間の知覚的な輝度で表現しようと思っている。この表現では人間(201)の皮膚のトーン(207)はそれよりはるかに暗く、知覚的には黒から白に向かって25%程度の位置にある。
【0019】
図9に本発明の実施態様のフローチャートを示す。図9中の各ブロックの動作は以下の通りである。
901:距離を決定する
902:様々な合焦距離で一連の試し撮りを行う
903:試し撮り写真及びそれに対応する距離を格納する
904:写真を分析する
905:各写真中の各位置の空間的なコントラストの評価値を計算する
906:シーンの各位置について最もピントの合っている写真を特定する
907:シーンの位置毎に、カメラからの距離を最適な合焦距離として特定する
908:最終的な写真を得る
909:距離に基づいて写真上の領域を選択的に調整する
本発明の実施態様に従って改善された写真を得るには、まずカメラを使ってシーンを連続的に何枚か試し撮りする(902)。各写真はカメラからの様々な距離にピントを合わせており、各写真の合焦距離を記録する(903)。カメラは写真毎にピント調節メカニズムのポジションを調整して合焦距離の変化を実現する。これらの試し撮りは、技術的によく知られているように、カメラの被写界深度を最小にするカメラ設定を使用して実行できる。「被写界深度」という言葉は、そこに入っている物体に許容できる程度にピントが合うようなカメラからの距離範囲を表す。一連の試し撮り写真はカメラのメモリー(111)に格納される。
【0020】
図3、図4、図5は、ピント調節メカニズムの設定を変化させて撮影した、図2に示すシーンの3枚の連続写真の例である。カメラの設計によっては、一連の試し撮り写真全体が3枚より多くても少なくてもよい。3枚の写真の例は、ここで説明のために選んだものである。
【0021】
図3に、カメラのピント調節メカニズムが非常に遠方の物体にピントを設定し、カメラの被写界深度を最小に設定して撮影した図2のシーンの写真を示す。図3では、家(203)を含むカメラから遠く離れた物体は、鮮明にピントが合っている。木(202)はカメラから中程度の距離にあり、幾分ピントが外れている。人間(201)は比較的カメラに近いので、それに対応してピントが著しく外れている。図3の写真と共に、ピント調節メカニズムの位置情報とレンズ(101)の光学的性質に関する情報との組み合わせによって判定した、本質的に無限遠のカメラ合焦距離を使用して撮影したという注釈が格納される(903)。
【0022】
図4に、カメラのピント調節メカニズムがカメラから2mの物体にピントを設定し、カメラの被写界深度を最小に設定して撮影した図2のシーンの写真を示す。図4ではカメラから遠方の物体は家(203)を含めて幾分ピントが外れている。木(202)はカメラから中程度の距離にあり、鮮明にピントが合っている。人間(201)は比較的カメラに近く、それに応じて幾分ピントが外れている。図4の写真と共に、2mのカメラ合焦距離を使用して撮影したという注釈が格納される(903)。
【0023】
図5に、カメラのピント調節メカニズムがカメラから1mの物体にピントを設定し、カメラの被写界深度を最小に設定して撮影した図2のシーンの写真を示す。図5ではカメラから遠方の物体は家(203)を含めて著しくピントが外れている。木(202)はカメラから中間的な距離にあり、それに応じて幾分ピントが外れている。人間(201)は比較的カメラに近く、鮮明にピントが合っている。図5の写真と共に、1mのカメラ合焦距離を使用して撮影したという注釈が格納される(903)。
【0024】
一連の試し撮りの写真がカメラのメモリーに格納されると、カメラの論理ユニット(110)が一連の写真を分析(904)し、シーンの各領域について一連の写真の中で最もピントの合っているのはどれかを判定できる。あるいは、一連の写真をコンピュータに転送し、コンピュータで分析することもできる。分析に使用する外部コンピュータは、プリンタなどの別の装置に組み込むこともできる。
【0025】
シーンの各位置と各試し撮り写真について、空間的なコントラストの評価値(metric)が計算される(905)。当該技術でよく知られているように、写真の空間的なコントラストはピントについての有効な指標である。図6に、3枚の試し撮り写真のそれぞれについてシーンの特定の位置に関する空間的なコントラストの評価値の計算を示す。例えば、本質的に無限遠の合焦距離による試し撮り写真(601)を使用して、写真上の位置のピクセル輝度値を記載する表(602)が示される。この表(602)では、領域の中心のピクセルは輝度値が190であり、周囲のピクセルは別の輝度値であることが分かる。
【0026】
ピクセルで空間的なコントラストの評価値を計算する1つの方法は、ピクセルの輝度値と周囲の個々のピクセルの輝度値との差の2乗を合計することである。この方法を使用すると、空間的なコントラストの評価値が大きいほどピントがより鮮明に合っていることを表す。表(602)に記載された値を使用すると、空間的なコントラストの評価値は次のように計算される。
空間的なコントラストの評価値=(220-190)**2+(35-190)**2+(26-190)**2+(220-190)**2+(50-190)**2+(28-190)**2+(40-190)**2+(30-190)**2=146665(ここで**はべき乗を示す)
2mの合焦距離で撮影した試し撮り写真(603)の同じ領域でこの方法を使用すると、46990の空間的なコントラストの評価値が得られる。これはシーンのこの領域が写真(601)より写真(603)のピントの鮮明度が低いことを示す。
【0027】
同様に、1m(604)の合焦距離で撮影した試し撮り写真の同じ領域は、空間的なコントラストの評価値が186になる。これはその写真のこの領域のピントが著しく外れていることを示す。
【0028】
空間的なコントラストの評価値を計算するこの方法は例であり、当該技術分野にはに多くの方法が存在することは、当業者には理解できるであろう。
【0029】
3枚の試し撮り写真すべてについて計算した特定の位置の空間的なコントラストの評価値を使用すると、この特定の位置は本質的に無限遠(906)にピントを合わせた写真で最もピントが合っていることがわかる。従って、シーンのその位置の物体はカメラから遠く離れている。
【0030】
この技法を試し撮り写真(906)中のすべての位置に適用すると、距離地図を構成できる。図7は例のシーンについて得られた距離地図を示す。この単純な例では、3つの領域が現れる。1つの領域にはカメラから約1mの物体が存在する。もう1つの領域にはカメラから約2mの物体が存在する。最後の領域にはカメラからの距離が比較的大きい、本質的に無限遠の物体が存在する。図7に示す距離地図は、カメラがフィル・フラッシュをシミュレートするプロセスの一部を概念的に説明するための便利なツールであるが、カメラでは必ずしも距離地図全体を同時に構成する必要はない。
【0031】
カメラまたは外部コンピュータは、フィル・フラッシュを使用した場合にフィル・フラッシュが写真にもたらすであろう効果を、この距離情報を使用してシミュレートできる。シミュレーションを実行する(909)ためには、カメラまたはコンピュータのソフトウェアやファームウェアで写真上のピクセルの輝度値を表すメモリに格納された数値を変更するだけでよい。
【0032】
カメラに外付けされているフラッシュは、周知の逆二乗の法則に従って、本質的に撮影対象のシーンを照らす点光源としてモデル化できる。すなわち、フラッシュの照射によって得られる物体の輝度はカメラから物体までの距離の2乗に反比例する。例えば、カメラから2mの位置にある物体の輝度は、カメラから1mの位置にある物体の輝度の1/4になる。もちろん逆二乗の法則はカメラのフラッシュの光にのみ適用される。フラッシュの光はシーンに注ぐ周囲光への上乗せされる効果をもたらす。
【0033】
本発明によって実現する1つの有効な機能は、カメラのユーザが写真を撮った後で、写真に可変量の擬似的なフィル・フラッシュを適用できることである。写真を撮る前にフラッシュに必要なエネルギーを見積る必要はない。カメラはカメラのディスプレイ(109)に写真を表示できるので、ユーザはディスプレイ(109)上で効果を目視しながらカメラの制御手段(112)を操作して擬似フィル・フラッシュ効果を調整できる。カメラの外部のコンピュータで分析とシミュレーションを実行する場合も、同様の制御手段が提供される。
【0034】
例のような場合、ユーザは人間(201)の皮膚のトーン(207)を黒と白の中間の知覚的輝度レベルで写真に表現するのに十分なフィル・フラッシュ効果を適用するように指定できる。ユーザは、最終的な写真に表現される人間(201)の皮膚のトーン(207)が適切な知覚的輝度レベルになるようなフィル・フラッシュ量を選択する。カメラはこのフィル・フラッシュ量情報とシーンの距離地図を使用して、写真上の他の物体もその照度が人間(201)の皮膚のトーン(207)に関して適切な露出を実現する同じフィル・フラッシュに影響されたかのように表現する。
【0035】
例えば、シーンで人間(201)が身につけているシャツ(204)と帽子(205)も最終的な写真では人間(201)の皮膚のトーン(207)と同程度に明るくなるが、それでも幾分暗い素材であるために皮膚のトーン(207)より幾分暗く表現されるはずである。
【0036】
シーンの木(202)はカメラから離れているので、逆二乗の法則に従って擬似フィル・フラッシュの影響が少ない。木(202)も明るくなるが、人間(201)のシャツや(204)と帽子(205)ほどではない。具体的には、図2に示す試し撮り写真のシャツ(204)と帽子(205)と同じ輝度に見えていた木の樹皮(206)は、最終的な写真では人間(201)のシャツ(204)と帽子(205)よりかなり暗くなるだろう。
【0037】
カメラから遠い物体は本質的にカメラ・フラッシュに影響されないので、フィル・フラッシュ・シミュレーションはその輝度レベルに影響を与えない。具体的には、家(203)は最終の写真では図2と同じ輝度レベルに見えるだろう。
【0038】
従って、図2のシーンでは同じ輝度として見えていた複数の物体、シャツ(204)と帽子(205)、木の樹皮(206)、家(203)は、カメラからの距離が異なるおかげで、フィル・フラッシュのシミュレーションを含む最終の写真では3通りの異なる輝度レベルで表示される。
【0039】
調整を必要とする写真上のすべての位置について処理を完了すると、カメラは擬似フィル・フラッシュの効果を反映した最終的な写真を格納する。最終的な写真は、すでに撮影された試し撮りの写真のいずれか、または好ましいカメラ設定(908)で撮影した別の写真から作成できる。例えば、被写界深度を最大に設定したカメラで撮影した後でフィル・フラッシュ・シミュレーションを適用することで最終的な写真が得られる。
【0040】
図8に、本発明の実施態様に従って擬似フィル・フラッシュを適用した後に得られる最終的な写真を示す。
【0041】
前述の例では、フィル・フラッシュ・シミュレーションは写真の各要素を明るくすることで実現された。背後から明るく照明された物体などの別のシーンを写真に撮る際には、フィル・フラッシュの使用がカメラの露光量決定方法と相互に作用し合う可能性があることに注意する必要がある。最終的な写真では、前景の物体が遠い物体より明るくなるが、撮影結果ではフィル・フラッシュを使用しなかった場合よりフィル・フラッシュを使用した場合の方が写真の領域の一部が暗く表示されることがある。本発明はこの状況を考慮に入れることを意図している。
【0042】
本発明の実施態様例に従ったフィル・フラッシュ・シミュレーションが実際にフィル・フラッシュを使用する方法に比べていくつかの利点を持つことが理解できるであろう。擬似フィル・フラッシュを使用すると、背後から光が当たる物体の補正など、フィル・フラッシュの望ましい効果が得られるが、実際のフィル・フラッシュの欠点の多くを排除できる。擬似フィル・フラッシュはカメラのフラッシュが許可されない場合や無作法であると考えられる場合に使用してもよい。擬似フィル・フラッシュは写真を撮った後で適用でき、フィル・フラッシュ効果の強度はユーザの好みで調整できる。擬似フィル・フラッシュは、カメラのフラッシュを使用しないのでバッテリ容量を節約できる。事実、擬似フィル・フラッシュは、カメラが自動ピント決定の過程で必要な試し撮り写真を集めることができるので、新たなバッテリー容量を消耗しない。擬似フィル・フラッシュは前景の物体を投影して背景上に不快な暗い影を投げかけることがない。物体の目に「赤目現象」も生じない。
【0043】
本発明に関する以上の記述は、例証と説明のために提示した。本記述は、網羅的であることや開示した厳密な形式に本発明を制限することを意図したものではなく、前述の説明に照らして他の変更や変形が可能である。例えば、擬似フィル・フラッシュは、実際のフラッシュのように逆二乗の法則に従って行うように制限される必要はない。本実施態様は、本発明の原理と本発明の実際的な適用を最も適切に説明するために選択し、説明したものである。従って、他の当業者は計画した特定の用途に合わせた種々の実施態様と種々の変形において本発明を最大限に活用できる。先行技術によって制限される場合を除き、本願特許請求の範囲は本発明の他の代替の実施態様を含むと解釈されるものとする。
【図面の簡単な説明】
【図1】デジタル・カメラの簡略化されたブロック図。
【図2】撮影対象のシーンを示す図。
【図3】遠距離の物体にピントを合わせたカメラで撮った図2のシーンの写真。
【図4】中程度の合焦距離に設定したカメラで撮った図2のシーンの写真。
【図5】近距離の物体にピントを合わせたカメラで撮った図2のシーンの写真。
【図6】3枚の異なる写真による空間的なコントラストの評価値の構成を示す図。
【図7】図2のシーンの距離地図。
【図8】本発明の実施態様に従って疑似フィル・フラッシュを適用した後の図2のシーンの写真。
【図9】本発明の実施態様を実現するステップを表す図。
【符号の説明】
108:ストロボ・エレクトロニクス
109: ディスプレイ
110:論理ユニット
111:メモリ
112:ユーザ操作手段
[0001]
BACKGROUND OF THE INVENTION
The present invention relates generally to photography, and more particularly to simulations using flash or strobe lights.
[0002]
[Prior art]
Photographers often use flash lights or strobe lights to give the desired effect to their photos. Many modern cameras have built-in electronic flash lamps to make the flash easy to use. A flash may be used to provide the main lighting of the scene when there is not enough light from other light sources. The light obtained from other light sources is often referred to as ambient light.
[0003]
Even if a flash is not used, sufficient ambient light can be obtained for the exposure of the photograph, but the distribution of the ambient light may lead to a disappointing result. This phenomenon is often seen in subjects that are brightly illuminated at the back, such as humans against a sunlit window in a relatively dark room. Since the camera sets the exposure according to the average brightness of the scene, the person is significantly underexposed.
[0004]
A technique for improving the quality of photographs in such a situation is to use a fill flash, that is, an auxiliary flash. Fill flash is a scene where there may be enough ambient light in a photo, but it can be further improved by using a flash, and it is usually a technology that uses a flash or strobe built in or external to the camera to compensate for the light. is there. In the above example, using a camera flash can improve human illumination, but has little effect on the brightness of objects illuminated by the sun outside the window. In this way, the relative illuminance between the human and the outdoor object is closer, thus improving the relative exposure of the various components of the scene.
[0005]
The fill flash can also be used for other purposes. The fill flash can emphasize highlights on the near-side subject. In addition, for example, an unpleasant shadow that appears when a person to be photographed is illuminated by intense sunlight from an angle close to the overhead can be reduced with a fill flash.
[0006]
Using fill flash can improve the quality of photos in some situations, but this technique also has some drawbacks. There are cases where flash photography is not allowed, such as in a museum. Or flash photography at weddings or formal dinners is considered rude.
[0007]
Using a fill flash may cause unwanted shadows. For example, when a person is photographed using a flash, an unpleasant and undesired shadow that falls on an object directly behind the person may be clearly drawn on one side of the person in the photograph.
[0008]
Also, electronic flash consumes considerable electrical energy. When the camera flash is used, the battery that supplies power to the camera is rapidly consumed, so that the time that the camera can be used is limited by one battery replacement or charging.
[0009]
Furthermore, the use of an electronic flash may produce an undesirable effect called “red-eye phenomenon” when the flash light is reflected off the retina of the subject's eye and returns to the camera. It is not desirable to use a method for reducing the “red-eye phenomenon” such as performing a preflash that preliminarily emits light before the actual light emission to contract the iris of the subject because the shutter response time of the camera is delayed.
[0010]
Finally, some cameras require users to decide whether to use a fill flash before taking a picture. In the past, flash effects could not be easily added or removed after taking a picture. While some cameras can automatically determine whether or not to use a fill flash, photos taken with an automatic camera are susceptible to all other drawbacks of the fill flash. In addition, photographers are not convinced of camera decisions and are seeking a way to correct the results.
[0011]
[Problems to be solved by the invention]
A camera that can add or adjust the effect of fill flash after taking a photo, provide the beneficial effect of fill flash, while preventing unwanted effects, and even in situations where flash shooting is not available Is required.
[0012]
[Means for Solving the Problems]
A digital camera shoots several scenes continuously without using an electronic flash. Individual photos are focused at different distances from the camera. Each photograph is recorded together with its focused distance, that is, in-focus distance. Analyze the photos using spatial contrast analysis to determine which elements of each scene are in focus. The distance from the camera to each element of the scene is determined by combining information about which element is in focus and the recorded in-focus distance. Based on the distance information, the brightness of each area of the scene is selectively adjusted to simulate the effect obtained when the flash is used.
[0013]
DETAILED DESCRIPTION OF THE INVENTION
FIG. 1 shows a block diagram of a digital camera. A lens (101) collects light from a scene (not shown). The collected light changes direction (102) to form an image of the scene on the sensor (103). The sensor may be a CCD element array or a CMOS sensor. The operation of the focus adjustment mechanism including all or part of the lens (101) can be controlled by a control signal (113) from a logic unit (110) comprising a microprocessor system. A feedback signal (114) indicating the position of the focus adjustment mechanism is transmitted from the lens (101) to the logic unit (110). Similarly, the operation of the sensor is controlled by a control signal (105) from the logic unit (110). The image information signal (104) is transmitted from the sensor to the logic unit (110). A flash or strobe (106) may be used to provide additional light (107) to the scene. The strobe is operated with strobe electronics (108), which is further controlled with a logic unit (110). The camera may comprise a display (109) for displaying image data. Further, the camera may include a memory (111) for storing and retrieving image data and exchanging data with other devices (not shown). The camera user can operate various control inputs (112) that affect the operation of the camera.
[0014]
The focus adjustment mechanism of the digital camera embodying the present invention can be controlled by the camera logic unit (110). The lens (101) or a part of the lens moves in the axial direction under the control of the logic unit (110), and the focusing operation is performed so that the logic unit (110) can know the position of the focus adjustment mechanism at the time of shooting. I do. Instead of doing this, the position of the sensor (103) can be adjusted under the control of the logic unit (110) to perform the focusing operation. A feedback signal may also be provided from the focus adjustment mechanism to the logic unit (110) to directly indicate the position of the focus adjustment mechanism. By combining with the built-in information about the optical properties of the lens (101) and the design of the camera, the distance from the position of the focusing mechanism to the focused subject can be determined.
[0015]
Digital cameras essentially generate a numerical representation of each photograph taken. Each location on the photograph is called a “pixel” or “pixel” and the camera records a numerical value that indicates the brightness at that location in the scene. As a result, the scene representation is an array of numbers. The position in this array corresponds to a particular pixel, that is, the position of the scene, and the numerical value stored at each position of the array represents the brightness of that position in the scene. In addition, the camera may record information regarding the color of each pixel position in the captured scene. For example, many cameras represent the color of a pixel using three components that represent the contribution of the red, green, and blue wavelengths of light to the brightness of that pixel. The overall brightness of a pixel can be calculated as the sum of red, green and blue contributions, as a weighted sum, or as some other combination of color information. Various methods for calculating pixel brightness from color information are well known in the art. One skilled in the art will readily appreciate that the present invention applies to both cameras that record only luminance information for each pixel and cameras that also record color information.
[0016]
For the purposes of this disclosure, the photograph may be a numerical representation of the scene captured by the camera, and need not be a scene burned into the photograph.
[0017]
FIG. 2 is a schematic representation of a scene used to illustrate an embodiment of the present invention. In the scene, a human (201) is standing in the shadow of the tree (202) close to the camera. The tree (202) is farther from the camera than the human (201), but is not so far away. The background of the scene is other objects including the house (203). The background object is far from the camera compared to the human (201) or tree (202). Some objects in the scene, especially the human shirt (204) and hat (205), tree trunk (206), and house (203) appear to have the same brightness.
[0018]
This scene provides an example of a scene that can be improved by using fill flash. While the overall exposure of the scene is balanced, the foreground person (201) appears darker than the photographer wants due to insufficient ambient light at that location. Photographers often want to express the skin tone in a photo with a perceptual brightness that is roughly halfway between black and white. In this expression, the skin tone (207) of the human (201) is much darker than that and is perceptually located about 25% from black to white.
[0019]
FIG. 9 shows a flowchart of the embodiment of the present invention. The operation of each block in FIG. 9 is as follows.
901: Determine distance 902: Take a series of trial shots at various in-focus distances 903: Store trial shots and corresponding distances 904: Analyze photos 905: Spatial location of each position in each photo 906: Specify the most focused photograph for each position in the scene 907: Specify the distance from the camera as the optimum focusing distance for each position of the scene 908: Final 909: Get an improved photo according to an embodiment of the invention that selectively adjusts the area on the photo based on distance. First, use the camera to test several consecutive scenes. (902). Each photograph is focused at various distances from the camera, and the in-focus distance of each photograph is recorded (903). The camera changes the focus distance by adjusting the position of the focus adjustment mechanism for each photo. These trial shots can be performed using camera settings that minimize the camera's depth of field, as is well known in the art. The term “depth of field” refers to the range of distance from the camera that allows an object in it to be in acceptable focus. A series of trial shots is stored in the memory (111) of the camera.
[0020]
3, 4, and 5 are examples of three consecutive photographs of the scene shown in FIG. 2 taken by changing the setting of the focus adjustment mechanism. Depending on the camera design, the entire series of trial shots may be more or less than three. The example of three photos was chosen here for illustration.
[0021]
FIG. 3 shows a picture of the scene of FIG. 2 taken with the camera focusing mechanism set to focus on an extremely distant object and with the camera set to the minimum depth of field. In FIG. 3, the object far from the camera including the house (203) is clearly in focus. The tree (202) is at a medium distance from the camera and is somewhat out of focus. Since the human (201) is relatively close to the camera, the focus is significantly deviated accordingly. Along with the photograph of FIG. 3 is stored an annotation that the photograph was taken using an essentially infinite camera focus distance determined by a combination of position information of the focus adjustment mechanism and information on the optical properties of the lens (101). (903).
[0022]
FIG. 4 shows a photograph of the scene of FIG. 2 taken with the camera focus adjustment mechanism focusing on an object 2 m from the camera and setting the camera's depth of field to the minimum. In FIG. 4, objects far from the camera, including the house (203), are somewhat out of focus. The tree (202) is at a medium distance from the camera and is clearly in focus. The human (201) is relatively close to the camera and is somewhat out of focus accordingly. Along with the photograph of FIG. 4, an annotation that the photograph was taken using a camera focus distance of 2 m is stored (903).
[0023]
FIG. 5 shows a photograph of the scene of FIG. 2 taken with the camera focus adjustment mechanism focusing on an object 1 meter from the camera and setting the depth of field of the camera to a minimum. In FIG. 5, objects far from the camera including the house (203) are significantly out of focus. The tree (202) is at an intermediate distance from the camera and is somewhat out of focus accordingly. The human (201) is relatively close to the camera and is clearly in focus. Along with the photograph of FIG. 5, an annotation that the photograph was taken using a camera focus distance of 1 m is stored (903).
[0024]
When a series of trial shots is stored in the camera memory, the camera logic unit (110) analyzes (904) the series of photographs, and each area of the scene is most in focus in the series. You can determine which one is there. Alternatively, a series of photos can be transferred to a computer and analyzed by the computer. The external computer used for analysis can also be incorporated in another device such as a printer.
[0025]
For each position in the scene and each trial photo, a spatial contrast metric is calculated (905). As is well known in the art, the spatial contrast of a photograph is an effective measure of focus. FIG. 6 shows the calculation of the spatial contrast evaluation value for a specific position in the scene for each of the three trial shots. For example, using a trial photograph (601) with a focus distance of essentially infinity, a table (602) is provided that lists pixel luminance values at locations on the photograph. In this table (602), it can be seen that the central pixel of the region has a luminance value of 190, and the surrounding pixels have different luminance values.
[0026]
One way to calculate a spatial contrast estimate at a pixel is to sum the squares of the difference between the luminance value of the pixel and the luminance value of the surrounding individual pixels. When this method is used, the larger the spatial contrast evaluation value is, the clearer the focus is. Using the values listed in table (602), the spatial contrast estimate is calculated as follows.
Spatial contrast rating = (220-190) ** 2+ (35-190) ** 2+ (26-190) ** 2+ (220-190) ** 2+ (50-190) * * 2 + (28-190) ** 2+ (40-190) ** 2+ (30-190) ** 2 = 146665 (where ** is a power)
When this method is used in the same region of a test photograph (603) taken at a focus distance of 2 m, a spatial contrast evaluation value of 46990 is obtained. This indicates that this region of the scene has a lower sharpness of the photo (603) than the photo (601).
[0027]
Similarly, the evaluation value of the spatial contrast is 186 in the same region of the test photograph taken at the focal distance of 1 m (604). This indicates that this area of the photo is significantly out of focus.
[0028]
One skilled in the art will appreciate that this method of calculating spatial contrast estimates is an example, and there are many methods in the art.
[0029]
Using the spatial contrast rating at a particular location calculated for all three trial shots, this particular location is essentially the most focused photo in focus at infinity (906). I understand that. Therefore, the object at that position in the scene is far from the camera.
[0030]
If this technique is applied to all positions in the test photograph (906), a distance map can be constructed. FIG. 7 shows the distance map obtained for the example scene. In this simple example, three regions appear. There is an object of about 1 m from the camera in one area. In the other area there is an object about 2 m from the camera. In the last region, there is an object at infinity that is relatively far from the camera. The distance map shown in FIG. 7 is a convenient tool for conceptually explaining a part of the process in which the camera simulates the fill flash, but the camera does not necessarily have to compose the entire distance map at the same time.
[0031]
The camera or external computer can use this distance information to simulate the effect that the fill flash would have on the photo when using the fill flash. In order to execute the simulation (909), it is only necessary to change the numerical value stored in the memory representing the luminance value of the pixel on the photograph by software or firmware of the camera or computer.
[0032]
A flash external to the camera can be modeled as a point light source that essentially illuminates the scene being photographed, according to the well-known inverse square law. That is, the brightness of the object obtained by flash irradiation is inversely proportional to the square of the distance from the camera to the object. For example, the brightness of an object located 2 m from the camera is 1/4 of the brightness of an object located 1 m from the camera. Of course, the inverse square law applies only to the camera flash. The flash light has the effect of being added to the ambient light that shines into the scene.
[0033]
One useful feature implemented by the present invention is that a variable amount of pseudo fill flash can be applied to a photo after the camera user has taken the photo. There is no need to estimate the energy required for the flash before taking a picture. Since the camera can display a photograph on the display (109) of the camera, the user can adjust the pseudo fill flash effect by operating the control means (112) of the camera while viewing the effect on the display (109). Similar control means are provided when analysis and simulation are performed on a computer external to the camera.
[0034]
In the case of the example, the user can specify to apply a fill flash effect sufficient to render the human (201) skin tone (207) in a photograph with a perceptual luminance level between black and white. . The user selects a fill flash amount such that the human (201) skin tone (207) represented in the final photograph has an appropriate perceptual luminance level. The camera uses this fill flash volume information and the distance map of the scene so that other objects on the photo can also have the same fill flash that the illuminance achieves proper exposure with respect to human (201) skin tone (207) Express as if influenced by
[0035]
For example, the shirt (204) and hat (205) worn by a human (201) in the scene are also as bright as the human skin (201) tone (207) in the final photo, but still somewhat Since it is a dark material, it should appear somewhat darker than the skin tone (207).
[0036]
Since the scene tree (202) is far from the camera, the influence of the pseudo fill flash is less in accordance with the inverse square law. The tree (202) is also brighter, but not as good as the human (201) shirt or (204) and hat (205). Specifically, the bark (206) of the tree (206) that looked the same brightness as the shirt (204) and the hat (205) of the test photograph shown in FIG. ) And hat (205).
[0037]
Since an object far from the camera is essentially unaffected by the camera flash, the fill flash simulation does not affect its brightness level. Specifically, house (203) will appear at the same brightness level as in FIG. 2 in the final photo.
[0038]
Therefore, multiple objects that appeared to have the same brightness in the scene of FIG. 2, shirt (204) and hat (205), tree bark (206), and house (203), have different fill distances due to their different distances from the camera. The final photo, including a flash simulation, is displayed at three different brightness levels.
[0039]
When the process is complete for all locations on the photo that need to be adjusted, the camera stores the final photo reflecting the effect of the pseudo fill flash. The final photo can be created from either a trial photo that has already been taken or another photo taken with the preferred camera settings (908). For example, a final photograph can be obtained by applying a fill flash simulation after taking a picture with a camera with the maximum depth of field.
[0040]
FIG. 8 shows the final photograph obtained after applying the pseudo fill flash according to an embodiment of the present invention.
[0041]
In the example above, the fill flash simulation was realized by brightening each element of the photograph. When taking a picture of another scene, such as a brightly illuminated object from behind, it should be noted that the use of the fill flash may interact with the camera's exposure determination method. In the final photo, the foreground object is brighter than the distant object, but the photo result shows that part of the photo area appears darker when using the fill flash than when using the fill flash. Sometimes. The present invention is intended to take this situation into account.
[0042]
It will be appreciated that a fill flash simulation according to an example embodiment of the present invention has several advantages over methods that actually use fill flash. Using a pseudo-fill flash provides the desired effects of fill flash, such as correcting objects that are exposed to light from behind, but eliminates many of the disadvantages of actual fill flash. Pseudo-fill flash may be used when camera flash is not allowed or considered rude. The pseudo-fill flash can be applied after taking a picture, and the intensity of the fill flash effect can be adjusted according to user preference. The pseudo fill flash saves battery capacity because it does not use a camera flash. In fact, the pseudo fill flash does not drain new battery capacity because the camera can collect the necessary test shots during the automatic focus determination process. Pseudo-fill flash projects an object in the foreground and does not cast an unpleasant dark shadow on the background. There is no “red-eye phenomenon” in the object's eyes.
[0043]
The foregoing description of the invention has been presented for purposes of illustration and description. This description is not intended to be exhaustive or to limit the invention to the precise form disclosed, and other modifications and variations are possible in light of the above description. For example, a pseudo fill flash need not be restricted to perform according to the inverse square law as an actual flash. This embodiment has been chosen and described in order to best illustrate the principles of the invention and the practical application of the invention. Accordingly, other persons skilled in the art can make best use of the present invention in various embodiments and variations tailored to the particular application planned. Except as limited by the prior art, the claims are to be construed to include other alternative embodiments of the invention.
[Brief description of the drawings]
FIG. 1 is a simplified block diagram of a digital camera.
FIG. 2 is a diagram showing a scene to be photographed.
3 is a picture of the scene of FIG. 2 taken with a camera that focuses on a distant object.
4 is a picture of the scene of FIG. 2 taken with a camera set to a medium focus distance.
5 is a picture of the scene of FIG. 2 taken with a camera that focuses on an object at a short distance.
FIG. 6 is a diagram showing a configuration of spatial contrast evaluation values using three different photographs.
FIG. 7 is a distance map of the scene of FIG.
8 is a photograph of the scene of FIG. 2 after applying a pseudo fill flash in accordance with an embodiment of the present invention.
FIG. 9 is a diagram representing steps for implementing an embodiment of the present invention.
[Explanation of symbols]
108: Strobe electronics 109: Display 110: Logic unit 111: Memory 112: User operation means

Claims (14)

以下のステップ(a)から(c)を設け、カメラ・システムでフラッシュを使用せずにフィル・フラッシュをシミュレートする方法:
(a) カメラからシーンの物体までの距離を判定する;
(b) 前記シーンの写真を撮影する;
(c) フィル・フラッシュをシミュレートするために前記離に基づいて写真上の複数の領域のそれぞれの輝度を選択的に調整する。
The following steps (a) to (c) are provided to simulate a fill flash without using a flash in a camera system:
(a) determine the distance from the camera to the object in the scene;
(b) take a picture of the scene;
(c) selectively adjusting the respective luminance of the plurality of areas on the photographic based on the distance to simulate the fill flash.
前記ステップ(a)が以下の(a-1)から(a-3)を含むことを特徴とする請求項1に記載の方法:
(a-1) カメラから様々な距離にある物体にピントを合わせるように設定したカメラで一連の写真を撮影する;
(a-2) 前記写真と前記写真毎の合焦距離を格納する;
(a-3) 前記一連の写真と前記写真の各々に対応する合焦距離を分析する。
The method according to claim 1, wherein the step (a) includes the following (a-1) to (a-3):
(a-1) Take a series of photos with a camera set to focus on objects at various distances from the camera;
(a-2) storing the photograph and the focusing distance for each photograph;
(a-3) Analyzing the series of photographs and the in-focus distance corresponding to each of the photographs.
前記一連の写真を分析するステップが、空間的なコントラストの評価値を計算するステップを含むことを特徴とする請求項2に記載の方法。  The method of claim 2, wherein analyzing the sequence of photographs includes calculating a spatial contrast estimate. 前記シーン中の各位置での物体までの距離を決定するステップが以下のステップ(a-4)及び(a-5)を含むことを特徴とする請求項3に記載の方法:
(a-4) 空間的なコントラストの評価値を使用して前記一連の写真の中から前記シーンの前記位置の物体に他の写真より良好にピントが合っている特定の1枚を検出する;
(a-5) 前記特定の写真と共に格納された合焦距離としてカメラから前記シーンの前記位置の物体までの距離を特定する。
4. The method of claim 3, wherein determining the distance to the object at each position in the scene includes the following steps (a-4) and (a-5):
(a-4) using the spatial contrast evaluation value to detect a specific one of the series of photographs in which the object at the position in the scene is in focus better than other photographs;
(a-5) The distance from the camera to the object at the position of the scene is specified as the in-focus distance stored together with the specific photograph.
最終的に得られた写真で、カメラにより近い物体を含む領域がカメラから遠い物体を含む領域に比べて明るくされることを特徴とする請求項1に記載の方法。  The method of claim 1, wherein in the finally obtained photograph, an area containing an object closer to the camera is made brighter than an area containing an object far from the camera. 最終的に得られた写真で、前記領域が逆2乗の法則に従って修正されることを特徴とする請求項5に記載の方法。  6. The method of claim 5, wherein in the final photograph, the region is modified according to the inverse square law. 以下の手段(a)から(c)を設け、フラッシュを使用せずにフィル・フラッシュをシミュレートするカメラ・システム:
(a) カメラからシーン中の物体までの距離を決定する手段;
(b) 前記シーンの写真を撮影する手段;
(c) フィル・フラッシュをシミュレートするために前記距離に基づいて前記写真の複数の領域のそれぞれの輝度を選択的に調整する手段。
A camera system that provides the following means (a) to (c) to simulate a fill flash without using a flash:
(a) means for determining the distance from the camera to the object in the scene;
(b) means for taking a picture of the scene;
(c) means for selectively adjusting the brightness of each of the plurality of regions of the photograph based on the distance to simulate a fill flash ;
前記手段(a)が、以下の手段(a-1)から(a-3)を含むことを特徴とする請求項7に記載のカメラ・システム:
(a-1) カメラから様々な距離にある物体にピントを合わせるように設定したカメラで一連の写真を撮影する手段;
(a-2) 前記写真と前記写真毎の合焦距離を格納する手段;
(a-3) 前記一連の写真とそれに対応する前記合焦距離を分析して前記物体の距離を決定する手段。
The camera system according to claim 7, wherein the means (a) includes the following means (a-1) to (a-3):
(a-1) means for taking a series of photos with a camera set to focus on an object at various distances from the camera;
(a-2) means for storing the photograph and the focusing distance for each photograph;
(a-3) Means for determining the distance of the object by analyzing the series of photographs and the corresponding in-focus distance.
カメラとは別個のコンピュータを備えており、一連の試し撮り写真とそれぞれの合焦距離が前記別個のコンピュータに送信され、分析とフィル・フラッシュのシミュレーションが行われることを特徴とする請求項8に記載のカメラ・システム。  9. The computer according to claim 8, further comprising a computer separate from the camera, wherein a series of trial photographs and respective in-focus distances are transmitted to the separate computer for analysis and fill flash simulation. The camera system described. 前記一連の写真の分析をする手段が空間的なコントラストの評価値を計算することを含むことを特徴とする請求項8に記載のカメラ・システム。  9. The camera system of claim 8, wherein the means for analyzing the series of photographs includes calculating a spatial contrast estimate. 前記シーンの各位置中の物体までの距離を計算する手段が以下の手段(d)及び(e)を含むことを特徴とする請求項8に記載のカメラ・システム:
(d) 空間的なコントラストの評価値を使用して、前記一連の写真の中から前記シーン中の前記位置の物体に他の写真より良好にピントが合っている特定の1枚を検出する手段;
(e) 前記特定の写真と共に格納されたカメラの合焦距離としてカメラから前記シーンの前記位置の前記物体までの距離を特定する手段。
9. The camera system according to claim 8, wherein the means for calculating the distance to the object in each position of the scene includes the following means (d) and (e):
(d) Means for detecting a specific sheet in which the object at the position in the scene is in focus better than the other photographs from the series using the evaluation value of the spatial contrast ;
(e) means for specifying a distance from the camera to the object at the position of the scene as a focusing distance of the camera stored together with the specific photograph;
最終的に得られた写真で、カメラにより近い物体を含む領域をカメラから遠い物体を含む領域に比べて明るくすることを特徴とする請求項7に記載のカメラ・システム。  8. The camera system according to claim 7, wherein an area including an object closer to the camera is made brighter than an area including an object far from the camera in the finally obtained photograph. 最終的に得られた写真の領域の輝度を逆2乗の法則に従って修誠することを特徴とする請求項12に記載のカメラ・システム。  13. The camera system according to claim 12, wherein the luminance of the finally obtained photograph area is corrected according to the inverse square law. 以下の手段(a)から(c)を設けフラッシュを使用せずにフィル・フラッシュをシミュレートするカメラ:
(a)カメラからシーンの被写体までの距離を判定する手段;
(b) 写真を撮影する手段;
(c) フィル・フラッシュをシミュレートするために最終的に得られた写真の複数の領域のそれぞれの輝度を前記距離に基づいて選択的に修正する手段。
A camera that simulates a fill flash without using a flash with the following means (a) to (c):
(a) means for determining the distance from the camera to the subject in the scene;
(b) means for taking pictures;
(c) means for selectively modified based the respective brightness of the plurality of regions of the finally obtained photographs to simulate the fill flash on the distance.
JP2002269758A 2001-09-17 2002-09-17 System and method for simulating fill flash in photography Expired - Fee Related JP4236433B2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/955,457 US7262798B2 (en) 2001-09-17 2001-09-17 System and method for simulating fill flash in photography
US955457 2001-09-17

Publications (2)

Publication Number Publication Date
JP2003179810A JP2003179810A (en) 2003-06-27
JP4236433B2 true JP4236433B2 (en) 2009-03-11

Family

ID=25496850

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2002269758A Expired - Fee Related JP4236433B2 (en) 2001-09-17 2002-09-17 System and method for simulating fill flash in photography

Country Status (2)

Country Link
US (1) US7262798B2 (en)
JP (1) JP4236433B2 (en)

Families Citing this family (175)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8352400B2 (en) 1991-12-23 2013-01-08 Hoffberg Steven M Adaptive pattern recognition based controller apparatus and method and human-factored interface therefore
US7042505B1 (en) 1997-10-09 2006-05-09 Fotonation Ireland Ltd. Red-eye filter method and apparatus
US7630006B2 (en) 1997-10-09 2009-12-08 Fotonation Ireland Limited Detecting red eye filter and apparatus using meta-data
US7738015B2 (en) 1997-10-09 2010-06-15 Fotonation Vision Limited Red-eye filter method and apparatus
US7966078B2 (en) 1999-02-01 2011-06-21 Steven Hoffberg Network media appliance system and method
JP4451583B2 (en) * 2001-12-27 2010-04-14 富士フイルム株式会社 Imaging apparatus, imaging method, and program
KR100752870B1 (en) * 2002-05-28 2007-08-29 가시오게산키 가부시키가이샤 Composite image output device, composite image output method and recording medium
US7782366B2 (en) * 2002-09-20 2010-08-24 Seiko Epson Corporation Backlight adjustment processing of image using image generation record information
US20040239796A1 (en) * 2002-09-20 2004-12-02 Seiko Epson Corporation Backlight adjustment processing of image using image generation record information
JP3835433B2 (en) * 2003-05-23 2006-10-18 セイコーエプソン株式会社 Image processing using image generation history information
US8339462B2 (en) 2008-01-28 2012-12-25 DigitalOptics Corporation Europe Limited Methods and apparatuses for addressing chromatic abberations and purple fringing
US8948468B2 (en) * 2003-06-26 2015-02-03 Fotonation Limited Modification of viewing parameters for digital images using face detection information
US7689009B2 (en) * 2005-11-18 2010-03-30 Fotonation Vision Ltd. Two stage detection for photographic eye artifacts
US7606417B2 (en) 2004-08-16 2009-10-20 Fotonation Vision Limited Foreground/background segmentation in digital images with differential exposure calculations
US7844076B2 (en) * 2003-06-26 2010-11-30 Fotonation Vision Limited Digital image processing using face detection and skin tone information
US8682097B2 (en) * 2006-02-14 2014-03-25 DigitalOptics Corporation Europe Limited Digital image enhancement with reference images
US7269292B2 (en) * 2003-06-26 2007-09-11 Fotonation Vision Limited Digital image adjustable compression and resolution using face detection information
US8896725B2 (en) * 2007-06-21 2014-11-25 Fotonation Limited Image capture device with contemporaneous reference image capture mechanism
US8036458B2 (en) * 2007-11-08 2011-10-11 DigitalOptics Corporation Europe Limited Detecting redeye defects in digital images
US8155397B2 (en) * 2007-09-26 2012-04-10 DigitalOptics Corporation Europe Limited Face tracking in a camera processor
US8553949B2 (en) 2004-01-22 2013-10-08 DigitalOptics Corporation Europe Limited Classification and organization of consumer digital images using workflow, and face detection and recognition
US8989453B2 (en) * 2003-06-26 2015-03-24 Fotonation Limited Digital image processing using face detection information
US7574016B2 (en) 2003-06-26 2009-08-11 Fotonation Vision Limited Digital image processing using face detection information
US9129381B2 (en) * 2003-06-26 2015-09-08 Fotonation Limited Modification of post-viewing parameters for digital images using image region or feature information
US8330831B2 (en) * 2003-08-05 2012-12-11 DigitalOptics Corporation Europe Limited Method of gathering visual meta data using a reference image
US7639889B2 (en) * 2004-11-10 2009-12-29 Fotonation Ireland Ltd. Method of notifying users regarding motion artifacts based on image analysis
US7536036B2 (en) * 2004-10-28 2009-05-19 Fotonation Vision Limited Method and apparatus for red-eye detection in an acquired digital image
US8199222B2 (en) * 2007-03-05 2012-06-12 DigitalOptics Corporation Europe Limited Low-light video frame enhancement
US7587085B2 (en) * 2004-10-28 2009-09-08 Fotonation Vision Limited Method and apparatus for red-eye detection in an acquired digital image
US8593542B2 (en) * 2005-12-27 2013-11-26 DigitalOptics Corporation Europe Limited Foreground/background separation using reference images
US7317815B2 (en) * 2003-06-26 2008-01-08 Fotonation Vision Limited Digital image processing composition using face detection information
US7970182B2 (en) 2005-11-18 2011-06-28 Tessera Technologies Ireland Limited Two stage detection for photographic eye artifacts
US7362368B2 (en) * 2003-06-26 2008-04-22 Fotonation Vision Limited Perfecting the optics within a digital image acquisition device using face detection
US8363951B2 (en) 2007-03-05 2013-01-29 DigitalOptics Corporation Europe Limited Face recognition training method and apparatus
US7587068B1 (en) 2004-01-22 2009-09-08 Fotonation Vision Limited Classification database for consumer digital images
US8494286B2 (en) 2008-02-05 2013-07-23 DigitalOptics Corporation Europe Limited Face detection in mid-shot digital images
US7920723B2 (en) 2005-11-18 2011-04-05 Tessera Technologies Ireland Limited Two stage detection for photographic eye artifacts
US7792335B2 (en) 2006-02-24 2010-09-07 Fotonation Vision Limited Method and apparatus for selective disqualification of digital images
US7471846B2 (en) * 2003-06-26 2008-12-30 Fotonation Vision Limited Perfecting the effect of flash within an image acquisition devices using face detection
US8254674B2 (en) * 2004-10-28 2012-08-28 DigitalOptics Corporation Europe Limited Analyzing partial face regions for red-eye detection in acquired digital images
US8180173B2 (en) 2007-09-21 2012-05-15 DigitalOptics Corporation Europe Limited Flash artifact eye defect correction in blurred images using anisotropic blurring
US7565030B2 (en) 2003-06-26 2009-07-21 Fotonation Vision Limited Detecting orientation of digital images using face detection information
US8498452B2 (en) * 2003-06-26 2013-07-30 DigitalOptics Corporation Europe Limited Digital image processing using face detection information
US7315630B2 (en) 2003-06-26 2008-01-01 Fotonation Vision Limited Perfecting of digital image rendering parameters within rendering devices using face detection
US7792970B2 (en) 2005-06-17 2010-09-07 Fotonation Vision Limited Method for establishing a paired connection between media devices
US7620218B2 (en) 2006-08-11 2009-11-17 Fotonation Ireland Limited Real-time face tracking with reference images
US7440593B1 (en) 2003-06-26 2008-10-21 Fotonation Vision Limited Method of improving orientation and color balance of digital images using face detection information
US9160897B2 (en) 2007-06-14 2015-10-13 Fotonation Limited Fast motion estimation method
US8989516B2 (en) * 2007-09-18 2015-03-24 Fotonation Limited Image processing method and apparatus
US7680342B2 (en) * 2004-08-16 2010-03-16 Fotonation Vision Limited Indoor/outdoor classification in digital images
US8417055B2 (en) * 2007-03-05 2013-04-09 DigitalOptics Corporation Europe Limited Image processing method and apparatus
US7636486B2 (en) * 2004-11-10 2009-12-22 Fotonation Ireland Ltd. Method of determining PSF using multiple instances of a nominally similar scene
US9692964B2 (en) 2003-06-26 2017-06-27 Fotonation Limited Modification of post-viewing parameters for digital images using image region or feature information
US7616233B2 (en) * 2003-06-26 2009-11-10 Fotonation Vision Limited Perfecting of digital image capture parameters within acquisition devices using face detection
US8264576B2 (en) 2007-03-05 2012-09-11 DigitalOptics Corporation Europe Limited RGBW sensor array
US8170294B2 (en) * 2006-11-10 2012-05-01 DigitalOptics Corporation Europe Limited Method of detecting redeye in a digital image
JP3882793B2 (en) * 2003-07-14 2007-02-21 セイコーエプソン株式会社 Output image adjustment of image data
US8520093B2 (en) * 2003-08-05 2013-08-27 DigitalOptics Corporation Europe Limited Face tracker and partial face tracker for red-eye filter method and apparatus
US20050140801A1 (en) * 2003-08-05 2005-06-30 Yury Prilutsky Optimized performance and performance for red-eye filter method and apparatus
US9412007B2 (en) * 2003-08-05 2016-08-09 Fotonation Limited Partial face detector red-eye filter method and apparatus
JP2005181355A (en) * 2003-12-15 2005-07-07 Canon Inc Imaging device
US7551755B1 (en) 2004-01-22 2009-06-23 Fotonation Vision Limited Classification and organization of consumer digital images using workflow, and face detection and recognition
US7558408B1 (en) 2004-01-22 2009-07-07 Fotonation Vision Limited Classification system for consumer digital images using workflow and user interface modules, and face detection and recognition
US7555148B1 (en) 2004-01-22 2009-06-30 Fotonation Vision Limited Classification system for consumer digital images using workflow, face detection, normalization, and face recognition
US7564994B1 (en) 2004-01-22 2009-07-21 Fotonation Vision Limited Classification system for consumer digital images using automatic workflow and face detection and recognition
US7707039B2 (en) * 2004-02-15 2010-04-27 Exbiblio B.V. Automatic modification of web pages
US8442331B2 (en) 2004-02-15 2013-05-14 Google Inc. Capturing text from rendered documents using supplemental information
US20110102643A1 (en) * 2004-02-04 2011-05-05 Tessera Technologies Ireland Limited Partial Face Detector Red-Eye Filter Method and Apparatus
US20060041484A1 (en) 2004-04-01 2006-02-23 King Martin T Methods and systems for initiating application processes by data capture from rendered documents
US10635723B2 (en) 2004-02-15 2020-04-28 Google Llc Search engines and systems with handheld document data capture devices
US7812860B2 (en) 2004-04-01 2010-10-12 Exbiblio B.V. Handheld device for capturing text from both a document printed on paper and a document displayed on a dynamic display device
US8799303B2 (en) 2004-02-15 2014-08-05 Google Inc. Establishing an interactive environment for rendered documents
JP2005269604A (en) * 2004-02-20 2005-09-29 Fuji Photo Film Co Ltd Imaging device, imaging method, and imaging program
US7894670B2 (en) 2004-04-01 2011-02-22 Exbiblio B.V. Triggering actions in response to optically or acoustically capturing keywords from a rendered document
US20070300142A1 (en) 2005-04-01 2007-12-27 King Martin T Contextual dynamic advertising based upon captured rendered text
US8146156B2 (en) 2004-04-01 2012-03-27 Google Inc. Archive of text captures from rendered documents
US9116890B2 (en) 2004-04-01 2015-08-25 Google Inc. Triggering actions in response to optically or acoustically capturing keywords from a rendered document
US9143638B2 (en) 2004-04-01 2015-09-22 Google Inc. Data capture from rendered documents using handheld device
US20080313172A1 (en) 2004-12-03 2008-12-18 King Martin T Determining actions involving captured information and electronic content associated with rendered documents
US8793162B2 (en) 2004-04-01 2014-07-29 Google Inc. Adding information or functionality to a rendered document via association with an electronic counterpart
USRE50599E1 (en) 2004-04-01 2025-09-23 Kyocera Corporation Search engines and systems with handheld document data capture devices
US7990556B2 (en) 2004-12-03 2011-08-02 Google Inc. Association of a portable scanner with input/output and storage devices
US9008447B2 (en) 2004-04-01 2015-04-14 Google Inc. Method and system for character recognition
US8621349B2 (en) 2004-04-01 2013-12-31 Google Inc. Publishing techniques for adding value to a rendered document
US8713418B2 (en) 2004-04-12 2014-04-29 Google Inc. Adding value to a rendered document
US8489624B2 (en) 2004-05-17 2013-07-16 Google, Inc. Processing techniques for text capture from a rendered document
US8620083B2 (en) 2004-12-03 2013-12-31 Google Inc. Method and system for character recognition
US9460346B2 (en) 2004-04-19 2016-10-04 Google Inc. Handheld device for capturing text from both a document printed on paper and a document displayed on a dynamic display device
JP2006033049A (en) * 2004-07-12 2006-02-02 Konica Minolta Photo Imaging Inc Imaging device
US8346620B2 (en) 2004-07-19 2013-01-01 Google Inc. Automatic modification of web pages
JP2006086952A (en) * 2004-09-17 2006-03-30 Casio Comput Co Ltd Digital camera and program
US8320641B2 (en) 2004-10-28 2012-11-27 DigitalOptics Corporation Europe Limited Method and apparatus for red-eye detection using preview or other reference images
US7639888B2 (en) * 2004-11-10 2009-12-29 Fotonation Ireland Ltd. Method and apparatus for initiating subsequent exposures based on determination of motion blurring artifacts
US7715597B2 (en) 2004-12-29 2010-05-11 Fotonation Ireland Limited Method and component for image recognition
US8503800B2 (en) * 2007-03-05 2013-08-06 DigitalOptics Corporation Europe Limited Illumination detection using classifier chains
US7315631B1 (en) 2006-08-11 2008-01-01 Fotonation Vision Limited Real-time face tracking in a digital image acquisition device
US7599577B2 (en) * 2005-11-18 2009-10-06 Fotonation Vision Limited Method and apparatus of correcting hybrid flash artifacts in digital images
US7692696B2 (en) * 2005-12-27 2010-04-06 Fotonation Vision Limited Digital image acquisition system with portrait mode
IES20060559A2 (en) * 2006-02-14 2006-11-01 Fotonation Vision Ltd Automatic detection and correction of non-red flash eye defects
EP1987475A4 (en) 2006-02-14 2009-04-22 Fotonation Vision Ltd Automatic detection and correction of non-red eye flash defects
US7469071B2 (en) * 2006-02-14 2008-12-23 Fotonation Vision Limited Image blurring
US7804983B2 (en) 2006-02-24 2010-09-28 Fotonation Vision Limited Digital image acquisition control and correction method and apparatus
IES20060564A2 (en) 2006-05-03 2006-11-01 Fotonation Vision Ltd Improved foreground / background separation
US8259179B2 (en) 2006-05-15 2012-09-04 Csr Technology Inc. Compensating for non-uniform illumination of object fields captured by a camera
IES20070229A2 (en) * 2006-06-05 2007-10-03 Fotonation Vision Ltd Image acquisition method and apparatus
US7965875B2 (en) 2006-06-12 2011-06-21 Tessera Technologies Ireland Limited Advances in extending the AAM techniques from grayscale to color images
WO2008015586A2 (en) * 2006-08-02 2008-02-07 Fotonation Vision Limited Face recognition with combined pca-based datasets
US7916897B2 (en) * 2006-08-11 2011-03-29 Tessera Technologies Ireland Limited Face tracking for controlling imaging parameters
US7403643B2 (en) * 2006-08-11 2008-07-22 Fotonation Vision Limited Real-time face tracking in a digital image acquisition device
EP2067119A2 (en) 2006-09-08 2009-06-10 Exbiblio B.V. Optical scanners, such as hand-held optical scanners
KR100849846B1 (en) * 2006-09-21 2008-08-01 삼성전자주식회사 Apparatus and method for compensating brightness of image
WO2008050374A1 (en) * 2006-09-25 2008-05-02 Pioneer Corporation Scenery imaging device, scenery imaging method, scenery imaging program and computer readable recording medium
US8055067B2 (en) 2007-01-18 2011-11-08 DigitalOptics Corporation Europe Limited Color segmentation
DE602008001607D1 (en) 2007-02-28 2010-08-05 Fotonation Vision Ltd SEPARATION OF DIRECTIONAL ILLUMINATION VARIABILITY IN STATISTICAL FACE MODELING BASED ON TEXTURE SPACE MODULES
US7995804B2 (en) * 2007-03-05 2011-08-09 Tessera Technologies Ireland Limited Red eye false positive filtering using face location and orientation
EP2188759A1 (en) 2007-03-05 2010-05-26 Fotonation Vision Limited Face searching and detection in a digital image acquisition device
WO2008109622A1 (en) 2007-03-05 2008-09-12 Fotonation Vision Limited Face categorization and annotation of a mobile phone contact list
US7773118B2 (en) * 2007-03-25 2010-08-10 Fotonation Vision Limited Handheld article with movement discrimination
US7916971B2 (en) * 2007-05-24 2011-03-29 Tessera Technologies Ireland Limited Image processing method and apparatus
US20080309770A1 (en) * 2007-06-18 2008-12-18 Fotonation Vision Limited Method and apparatus for simulating a camera panning effect
US8503818B2 (en) 2007-09-25 2013-08-06 DigitalOptics Corporation Europe Limited Eye defect detection in international standards organization images
US8358370B2 (en) * 2007-12-05 2013-01-22 Nxp B.V. Flash light compensation system for digital camera system
US8384803B2 (en) * 2007-12-13 2013-02-26 Keigo Iizuka Camera system and method for amalgamating images to create an omni-focused image
US20090160945A1 (en) * 2007-12-21 2009-06-25 Dell Products L.P. Systems and Methods for Enhancing Image Quality of a Web Camera Image
US8724013B2 (en) * 2007-12-27 2014-05-13 Qualcomm Incorporated Method and apparatus with fast camera auto focus
US8750578B2 (en) 2008-01-29 2014-06-10 DigitalOptics Corporation Europe Limited Detecting facial expressions in digital images
US8212864B2 (en) * 2008-01-30 2012-07-03 DigitalOptics Corporation Europe Limited Methods and apparatuses for using image acquisition data to detect and correct image defects
US7855737B2 (en) * 2008-03-26 2010-12-21 Fotonation Ireland Limited Method of making a digital camera image of a scene including the camera user
CN103475837B (en) 2008-05-19 2017-06-23 日立麦克赛尔株式会社 Record reproducing device and method
WO2010012448A2 (en) 2008-07-30 2010-02-04 Fotonation Ireland Limited Automatic face and skin beautification using face detection
US8184196B2 (en) * 2008-08-05 2012-05-22 Qualcomm Incorporated System and method to generate depth data using edge detection
US8081254B2 (en) * 2008-08-14 2011-12-20 DigitalOptics Corporation Europe Limited In-camera based method of detecting defect eye with high accuracy
WO2010063463A2 (en) * 2008-12-05 2010-06-10 Fotonation Ireland Limited Face recognition using face tracker classifier data
US8405742B2 (en) * 2008-12-30 2013-03-26 Massachusetts Institute Of Technology Processing images having different focus
WO2010096191A2 (en) 2009-02-18 2010-08-26 Exbiblio B.V. Automatically capturing information, such as capturing information using a document-aware device
EP2406767A4 (en) 2009-03-12 2016-03-16 Google Inc Automatically providing content associated with captured information, such as information captured in real-time
US8447066B2 (en) 2009-03-12 2013-05-21 Google Inc. Performing actions based on capturing information from rendered documents, such as documents under copyright
US20100253797A1 (en) * 2009-04-01 2010-10-07 Samsung Electronics Co., Ltd. Smart flash viewer
JP5478935B2 (en) * 2009-05-12 2014-04-23 キヤノン株式会社 Imaging device
US8547457B2 (en) 2009-06-22 2013-10-01 Empire Technology Development Llc Camera flash mitigation
CN101969534A (en) * 2009-07-27 2011-02-09 鸿富锦精密工业(深圳)有限公司 Method and system for realizing regional exposure of picture in photographic equipment
US8379917B2 (en) * 2009-10-02 2013-02-19 DigitalOptics Corporation Europe Limited Face recognition performance using additional image features
KR101072945B1 (en) * 2009-11-17 2011-10-17 한국과학기술원 Apparatus for balancing flashed image color using depth estimation and method therefor
US9081799B2 (en) 2009-12-04 2015-07-14 Google Inc. Using gestalt information to identify locations in printed information
US9323784B2 (en) 2009-12-09 2016-04-26 Google Inc. Image search using text-based elements within the contents of images
US9001200B2 (en) 2010-01-12 2015-04-07 Bio-Rad Laboratories, Inc. Cell characterization using multiple focus planes
US8872887B2 (en) 2010-03-05 2014-10-28 Fotonation Limited Object detection and rendering for wide field of view (WFOV) image acquisition systems
US20120019677A1 (en) * 2010-07-26 2012-01-26 Nethra Imaging Inc. Image stabilization in a digital camera
US20120154617A1 (en) * 2010-12-20 2012-06-21 Samsung Electronics Co., Ltd. Image capturing device
US8836777B2 (en) 2011-02-25 2014-09-16 DigitalOptics Corporation Europe Limited Automatic detection of vertical gaze using an embedded imaging device
US9307134B2 (en) 2011-03-25 2016-04-05 Sony Corporation Automatic setting of zoom, aperture and shutter speed based on scene depth map
US8896703B2 (en) 2011-03-31 2014-11-25 Fotonation Limited Superresolution enhancment of peripheral regions in nonlinear lens geometries
US8860816B2 (en) 2011-03-31 2014-10-14 Fotonation Limited Scene enhancements in off-center peripheral regions for nonlinear lens geometries
US9813632B2 (en) * 2011-05-19 2017-11-07 Foveon, Inc. Method of adjusting digital camera image processing parameters
JP5947507B2 (en) * 2011-09-01 2016-07-06 キヤノン株式会社 Imaging apparatus and control method thereof
JP5713885B2 (en) * 2011-12-26 2015-05-07 キヤノン株式会社 Image processing apparatus, image processing method, program, and storage medium
TWI518436B (en) * 2012-01-17 2016-01-21 明基電通股份有限公司 Image capturing apparatus and image processing method
US8964089B2 (en) 2012-05-09 2015-02-24 Canon Kabushiki Kaisha Systems and methods for simulated preview for preferred image exposure
US9894269B2 (en) * 2012-10-31 2018-02-13 Atheer, Inc. Method and apparatus for background subtraction using focus differences
US20140125831A1 (en) * 2012-11-06 2014-05-08 Mediatek Inc. Electronic device and related method and machine readable storage medium
EP2954371A4 (en) * 2013-03-15 2016-11-02 Nokia Technologies Oy Apparatus, method and computer program for capturing images
US9973677B2 (en) * 2013-10-14 2018-05-15 Qualcomm Incorporated Refocusable images
FR3013480B1 (en) * 2013-11-15 2016-01-01 Morpho VIEWING SYSTEM AND METHOD INTEGRATING A LIGHTING SYSTEM OF THE SCENE TO BE TAKEN
JP6482196B2 (en) * 2014-07-09 2019-03-13 キヤノン株式会社 Image processing apparatus, control method therefor, program, and storage medium
CN106664366B (en) * 2014-07-16 2019-07-16 富士胶片株式会社 Image processing apparatus, photographic device and image processing method
US9804392B2 (en) 2014-11-20 2017-10-31 Atheer, Inc. Method and apparatus for delivering and controlling multi-feed data
EP3035284A1 (en) * 2014-12-19 2016-06-22 Thomson Licensing Method and apparatus for generating an adapted slice image from a focal stack
CN105874779B (en) * 2015-03-31 2019-09-06 深圳市大疆创新科技有限公司 Imaging device and its fill light control method, system, and movable object
CN106303199A (en) * 2015-06-02 2017-01-04 齐发光电股份有限公司 focusing system and focusing method
JP6727816B2 (en) * 2016-01-19 2020-07-22 キヤノン株式会社 Image processing device, imaging device, image processing method, image processing program, and storage medium
JP6700840B2 (en) * 2016-02-18 2020-05-27 キヤノン株式会社 Image processing device, imaging device, control method, and program
CN108650462B (en) * 2018-05-14 2020-06-09 Oppo广东移动通信有限公司 Shooting preview display method, device, terminal and storage medium
JP7034828B2 (en) * 2018-05-21 2022-03-14 シャープ株式会社 Electronic devices, control devices for electronic devices, control programs and control methods
US10498948B1 (en) 2018-06-05 2019-12-03 Applied Materials, Inc. Methods and apparatus for absolute and relative depth measurements using camera focus distance
EP4013037B1 (en) * 2020-12-11 2023-05-03 Axis AB Space mapping illumination in image system

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3141182A1 (en) * 1980-10-16 1982-05-19 Canon K.K., Tokyo "FOCUS DETECTING SYSTEM"
KR890003567B1 (en) * 1986-08-07 1989-09-23 주식회사 금성사 Automatic forcus system for video camera
JP3339876B2 (en) * 1992-04-28 2002-10-28 株式会社日立製作所 Imaging device
US5515448A (en) * 1992-07-28 1996-05-07 Yazaki Corporation Distance measuring apparatus of a target tracking type
JPH07301842A (en) * 1994-05-02 1995-11-14 Asahi Optical Co Ltd Electronic still camera
US5563658A (en) * 1994-12-16 1996-10-08 Eastman Kodak Company Electronic camera with rapid automatic focus of an image upon an image sensor
JP3540485B2 (en) * 1995-04-13 2004-07-07 株式会社リコー Electronic still camera
JP3733392B2 (en) * 1996-03-05 2006-01-11 イーストマン コダック カンパニー Image composition change detection method
JP3216792B2 (en) * 1996-08-06 2001-10-09 富士電機株式会社 Distance detection method using video
JP2957977B2 (en) * 1997-10-30 1999-10-06 三洋電機株式会社 Video camera

Also Published As

Publication number Publication date
US7262798B2 (en) 2007-08-28
US20030052991A1 (en) 2003-03-20
JP2003179810A (en) 2003-06-27

Similar Documents

Publication Publication Date Title
JP4236433B2 (en) System and method for simulating fill flash in photography
US8018525B2 (en) Camera flash module and method for controlling same
JP5454158B2 (en) Imaging apparatus, control method thereof, and program
JP6046905B2 (en) Imaging apparatus, exposure control method, and program
JP4021716B2 (en) Camera with strobe adjustment function
JP2008197531A (en) Imaging device
CN105578062B (en) Selection method of photometric mode and image acquisition device thereof
WO2019019904A1 (en) White balance processing method and apparatus, and terminal
KR20100109828A (en) Method for flash photography
KR930701761A (en) The process of determining the extra system speed and automatically optimizing the exposure parameters of the picture.
CN107948538A (en) Imaging method, device, mobile terminal and storage medium
TW201026031A (en) Digital image-capturing device and brightness correction method thereof
CN107846556A (en) Imaging method, device, mobile terminal and storage medium
JP2015166767A (en) Photometric device and imaging device
JP5210121B2 (en) Imaging apparatus and control method thereof
JP2015034850A (en) Photographing device and photographing method
TWI620442B (en) Flash optimization for camera devices
CN119893289A (en) Exposure parameter adjustment method, device, electronic equipment and computer readable storage medium
Johnston et al. Basic Photographic Concepts
JP2008197144A (en) Imaging apparatus, imaging lens focusing control method and control apparatus
JP2004173251A (en) camera
JP6300514B2 (en) IMAGING DEVICE AND IMAGING DEVICE CONTROL METHOD
JP7242247B2 (en) IMAGING DEVICE AND METHOD OF CONTROLLING IMAGING DEVICE
JPH10150598A (en) Exposure control device for still video camera
WO2024159546A1 (en) Method for taking pictures with a device equipped with cameras directed in opposite directions, and associated device

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20050916

RD02 Notification of acceptance of power of attorney

Free format text: JAPANESE INTERMEDIATE CODE: A7422

Effective date: 20071102

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20071113

RD04 Notification of resignation of power of attorney

Free format text: JAPANESE INTERMEDIATE CODE: A7424

Effective date: 20071220

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20080206

RD03 Notification of appointment of power of attorney

Free format text: JAPANESE INTERMEDIATE CODE: A7423

Effective date: 20080207

RD04 Notification of resignation of power of attorney

Free format text: JAPANESE INTERMEDIATE CODE: A7424

Effective date: 20080213

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20080425

A02 Decision of refusal

Free format text: JAPANESE INTERMEDIATE CODE: A02

Effective date: 20080701

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20080929

A911 Transfer to examiner for re-examination before appeal (zenchi)

Free format text: JAPANESE INTERMEDIATE CODE: A911

Effective date: 20081106

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20081202

A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20081216

R150 Certificate of patent or registration of utility model

Ref document number: 4236433

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150

Free format text: JAPANESE INTERMEDIATE CODE: R150

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20111226

Year of fee payment: 3

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121226

Year of fee payment: 4

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121226

Year of fee payment: 4

S111 Request for change of ownership or part of ownership

Free format text: JAPANESE INTERMEDIATE CODE: R313113

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121226

Year of fee payment: 4

R360 Written notification for declining of transfer of rights

Free format text: JAPANESE INTERMEDIATE CODE: R360

R360 Written notification for declining of transfer of rights

Free format text: JAPANESE INTERMEDIATE CODE: R360

R371 Transfer withdrawn

Free format text: JAPANESE INTERMEDIATE CODE: R371

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121226

Year of fee payment: 4

S111 Request for change of ownership or part of ownership

Free format text: JAPANESE INTERMEDIATE CODE: R313113

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121226

Year of fee payment: 4

R350 Written notification of registration of transfer

Free format text: JAPANESE INTERMEDIATE CODE: R350

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20121226

Year of fee payment: 4

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20131226

Year of fee payment: 5

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

LAPS Cancellation because of no payment of annual fees